no code implementations • LREC 2022 • Bolat Tleubayev, Zhanel Zhexenova, Kenessary Koishybay, Anara Sandygulova
This paper presents a new handwritten dataset, Cyrillic-MNIST, a Cyrillic version of the MNIST dataset, comprising of 121, 234 samples of 42 Cyrillic letters.
no code implementations • LREC 2020 • Medet Mukushev, Arman Sabyrov, Alfarabi Imashev, Kenessary Koishybay, Vadim Kimmelman, S, Anara ygulova
The motivation behind this work lies in the need to differentiate between similar signs that differ in non-manual components present in any sign.